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Knapen Lab

Computational Cognitive Neuroscience


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We are the Computational Cognitive Neuroscience Lab led by Tomas Knapen. The lab is equally based both at the Cognitive Psychology department at the Vrije Universiteit Amsterdam, and at the Spinoza Centre for Neuroimaging of the Royal Dutch Academy of Sciences.
We perform computational modeling, imaging, psychophysics, and eye movement experiments to investigate how activations in the brain give rise to our conscious awareness of ourselves and the world around us. Our "Spiel" is that we try to understand the structure of the brain's responses, even those of high cognitive function, in light of vision and other sensations. Specifically, we investigate how sensory information intermixes with cognitive factors such as attention, semantic processing, and reward. For more information on the topics we research, please see the science section, or click any of the topics further below on this page.

For information on the procedures that we use in the lab, please consult the lab wiki

And, if you want to follow the goings-on in the lab, you can follow the lab on Twitter:

Follow @tknapen

News from the lab:


  • Hippocampal and DMN retinotopy paper out in PNAS

    January 12, 2021

    Using topographic connectivity mapping, we show that hippocampus is visually organized.


  • Preprint on the visual organization of DMN and Hippocampus online!

    August 8, 2020

    Using topographic connectivity mapping, we show that hippocampus is visually organized.


  • Current Biology on eCoG of Binocular Rivalry online!

    July 2, 2020

    Intracranial Recordings Reveal Unique Shape and Timing of Responses in Human Visual Cortex during Illusory Visual Events.


  • Preprint on the Role of Visual Cortex in Reinforcement Learning online!

    January 22, 2019

    Learning in visual regions as support for the bias in future value-driven choice


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Science Topics


Saccadic Adaptation


Plasticity in sensorimotor control


Bistable Perception


Dynamic visual decision-making


Connective Field Modeling


Model-based mapping of Topographic Connectivity


Population Receptive Field Mapping


Mapping how visual-spatial information is encoded in the human brain


Finite Impulse Response Fitting


Estimating event-related responses from time series signals

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